COMPUTATIONAL CAPABILITY OF REGIONAL SATELLITE INFORMATION INTERNET RESOURCE Engel M.V., Afonin S.V. , Belov V.V. , Kulikov G.E. V.E. Zuev Institute of Atmospheric Optics SB RAS, 1 Akademichesky Ave., Tomsk 634055, Russia Phone: +7 3822 491081; fax: +7 3822 492086; e-mail: (angel,afonin,belov)@iao.ru 1 gleb@asd.iao.ru
General designation of the system: 1) Solving problems of satellite monitoring Solving problems of satellite monitoring 1) of the atmosphere and underlying surface of the atmosphere and underlying surface by the well- -known methods and known methods and by the well development of new methods of satellite development of new methods of satellite data processing. . data processing 2) Validation of satellite data invoking Validation of satellite data invoking 2) ground- -based measurements and based measurements and ground I nternet resources. I nternet resources. 3) Study of spatiotemporal variability of the Study of spatiotemporal variability of the 3) environmental characteristics in the environmental characteristics in the region. region. 2
Western Siberia Region 59°N, 66°E 90°N, 66°E 59°N, 50°E 90°N, 50°E 3
Satellite information databases as an information basis of the Internet resource (Part I) ATOVS, AVHRR NOAA POES 1998-2005 4
(Part II) MODI S Aerosol Product (Level 2, Collection 005) MODI S Precipitable Water MODI S Precipitable Water Products (Level 2, Collection 005) Products MOD04 MYD04 MOD04 MYD04 TERRA AQUA TERRA AQUA 2001-2006 2003-2006 2001-2006 2003-2006 TMODI S Atmospheric Profile TMODI S Atmospheric Profile Product (Level 2, Collection 005) Product MODI S Atmosphere Products (MODI S- MOD04 MYD04 AP) were obtained TERRA AQUA from the NASA Distributed Active 2001-2006 2003-2006 Archive Centres 5
Architecture of regional satellite data software package Program for Program for Server of thematic preliminary the B NOAA processing of processing NOAA r DB database the NOAA data of the o NOAA data Apache ZOPE, Server PYTHON PostgreSQL w Program for Program for Server of s thematic preliminary the MODIS processing of processing e MODIS DB the MODIS of the database r data MODIS data Linux 6
Flowchart of the WEB-resource operation ZOPE System application Авторизац Avtorization User accounts ия Job scheduler Preliminary Job definition Thematic data (Selection of application processing data and algorithm) Thematic tasks Output of the results Mailing of messages to users 7
Program modules realized functional capability of the resource ● A service module (implementation of service functions, running of applications). ● A data preparation module (access to file archives and satellite information databases, running of satellite data preprocessing programs). ● A module for thematic analysis of satellite data. 8
A module for thematic analysis of satellite data The module of thematic analysis includes special software and well-known program packages adapted to the resource content. The main directions of research: • Obtaining of the cloud mask and aerosol optical thickness (AOT) spatial distribution using the NOAA POES data (software has been developed at the IAO SB RAS ). • The retrieval of atmospheric temperature and moisture profiles, total ozone, and other atmospheric parameters from ATOVS/TOVS radiance measurements of NOAA POES satellites by means of the IAPP v.2.1 (International ATOVS Processing Package), with various a priori information used as input data. • A study of spatial and temporal variability of optical and meteorological atmospheric parameters and their correlation and statistical analysis. • Testing of algorithms for atmospheric correction of satellite measurements and fire detection. • Solution of problems of simulation of distorting atmospheric effects and atmospheric correction based on the Modtran software using the MODIS ATMOSPHERE PRODUCTS data as a priori information 9 on optical and meteorological state of the atmosphere.
Prototype of the thematic processing data Prototype of the thematic processing data module interface module interface Spatial and temporal analysis of optical and geometrical atmospheric characteristics Correlation analysis Calculation parameter selection Statistical analysis The retrieval of optical and meteorological atmospheric characteristics The simulation of distorting atmospheric effects Spectral channel selection
An example of AOT and cloud mask retrieval MODI S 70 70 65 65 60 60 55 55 AVHRR 70 70 65 65 60 60 55 55 70 75 80 85 90 95 100 70 75 80 85 90 95 100 11 AOT, λ = 630nm (MODI S), λ = 660nm (AVHRR) CLOUD MASK
Spatial and seasonal distribution of the AOT (466nm) 2001-2006 (TERRA) 0,35 2001 64 2003 62 2005 0,30 60 AOT (466 nm) 0,25 58 0.40 0,20 56 0.35 0,15 54 0,10 Latitude, grad 52 0.30 50 0,05 0.25 65 70 75 80 85 90 95 100 105 45678910 2003-2006 (AQUA) 2002 0.20 64 2004 0,35 62 2006 0.15 0,30 60 AOT (466 nm) 0.10 0,25 58 0,20 0.05 56 0,15 54 0.00 52 0,10 50 0,05 65 70 75 80 85 90 95 100 105 4 5 6 7 8 9 10 12 Longitude, grad Month
Spatial distribution correlation coefficient (limited extent) 2001 2003 64 64 62 62 60 60 58 58 56 56 54 54 52 52 50 50 707580859095100 707580859095100 2005 64 0.90 Latitude, grad 62 0.80 60 0.60 58 0.40 56 54 0.20 52 0.00 50 -0.20 13 707580859095100 Longitude, grad -0.40
Flow chart of the software operation in Flow chart of the software operation in processing of ATOVS/ NOAA satellite data processing of ATOVS/ NOAA satellite data NOAA Calibration POES L1B data ATOVS Scanex/ HRPconv and RAW HRPT AVHRR L1C minor Pre-processing frame L1F L1Fconv Package (AAPP) L1D NORAD_tle TBUS Vertical The profiles of the A priori data Topography International temperature ATOVS Radiosonde data (SRX) and humidity, Processing ftp//ftp.ssec.wisc.edu/pub/ssec/halw/ total ozone, Package and water Numerical Model Data (GRIB) (IAPP) vapour ftp//ftp.ssec.wisc.edu/pub/ssec/halw/grids/ Surface Data (METAR) 14 ftp//ftp.ssec.wisc.edu/pub/ssec/halw/surface/
Prototype of the interface for definition of Prototype of the interface for definition of input parameters for AAPP/ I APP for AAPP/ I APP input parameters Geographical and and temporal temporal Geographical AAPP AAPP parameters for telemetry selection for telemetry selection parameters Geographical coordinates: : Geographical coordinates Temporal interval: : Temporal interval Beginning of period: : Beginning of period 62.00 62.00 N Date (DD.MM.YY): 06.05.01 06.05.01 Time, GMT 00.00.00 00.00.00 (HH:MM:SS): 65.00 90.00 65.00 W E 90.00 End of period: : End of period Date (DD.MM.YY): 15.05.01 15.05.01 Time, GMT S 00.00.00 00.00.00 (HH:MM:SS): 55.00 55.00 15
Prototype of the interface for definition of Prototype of the interface for definition of input parameters for AAPP/ I APP input parameters for AAPP/ I APP Retrieval parameters Retrieval parameters I APP I APP Sensors Sensors Retrieval method: Retrieval method : static static HI RS- -3 3 HI RS dynamic dynamic AMSU- -A A AMSU AMSU- -B B AMSU Assignment of a priory data of a priory data Assignment about state of atmosphere about state of atmosphere (prediction models s, , (prediction model measurement data) ) measurement data 16
Examples of ATOVS data processing Examples of ATOVS data processing Total precipitable water Dew Point Temperature 60.0 60.0 Latitude, grad Latitude, grad 58.0 58.0 56.0 56.0 54.0 54.0 52.0 52.0 74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0 74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0 Total ozone 60.0 Latitude, grad. 58.0 56.0 54.0 52.0 17 74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0 Longitude, grad
"The data used in this study were acquired as part of the NASA's Earth Science Enterprise. The algorithms were developed by the MODIS Science Teams. The data were processed by the MODIS Adaptive Processing System (MODAPS) and Goddard Distributed Active Archive Center ( DAAC), and are archived and distributed by the Goddard DAAC." 18
Conclusion Conclusion The software for thematic processing of satellite data has been developed. A realization of this software in the WEB- resource content allows to solve a great number of actual scientific problems based on satellite data including the retrieval of meteorological and optical atmospheric parameters, statistical and spatial analysis of theirs, data processing for the purpose of atmospheric correction conducting.
Thanks for attention! 20
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